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Results for “"Mst. Alema Khatun"”

6 results

Deep CNN-LSTM With Self-Attention Model for Human Activity Recognition Using Wearable Sensor

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Mst. Alema Khatun, Mohammad Abu Yousuf, Sabbir Ahmed, Md. Zia Uddin et al.

Journal: IEEE Journal of Translational Engineering in Health and MedicineYear: 2022Citations: 249

Human Activity Recognition (HAR) systems are devised for continuously observing human behavior - primarily in the fields of environmental compatibility, sports injury detection, senior care, rehabilitation, entertainment, and the surveillance in intelligent home settings. Inertial sensors, e.g., acc...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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Human Activity Recognition Using Smartphone Sensor Based on Selective Classifiers

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Mst. Alema Khatun, Mohammad Abu Yousuf

Year: 2020Citations: 20

HAR, elaborated as Human Activity Recognition, is a motile procedure of recognizing different physical activities performed by the human being in different environments. Walking, jogging, running, stair-up, stair-down, etc. are some of the examples of such kinds of actions. Our primary goal is to re...

Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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Deep CNN-GRU Based Human Activity Recognition with Automatic Feature Extraction Using Smartphone and Wearable Sensors

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Mst. Alema Khatun, Mohammad Yousuf, Mohammad Ali Moni

Year: 2023Citations: 10

This article describes a method to Human Activity Recognition (HAR) challenges based on data from wearable and smartphone sensors. We introduced a deep learning model and recognition system that is a combination of CNN (Convolutional Neural Network) and GRU (Gated Recurrent Unit) to improve results....

Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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A Multi-Agent and Attention-Aware Enhanced CNN-BiLSTM Model for Human Activity Recognition for Enhanced Disability Assistance

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Mst. Alema Khatun, Mohammad Abu Yousuf, Taskin Noor Turna, AKM Azad et al.

Journal: DiagnosticsYear: 2025Citations: 6

Background: Artificial intelligence (AI)-based automated human activity recognition (HAR) is essential in enhancing assistive technologies for disabled individuals, focusing on fall detection, tracking rehabilitation progress, and analyzing personalized movement patterns. It also significantly manag...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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Performance Analysis of Different Classifiers used in Detecting Benign and Malignant Cells of Breast Cancer

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Taskin Noor Turna, Mst. Alema Khatun

Journal: International Journal of Computer ApplicationsYear: 2021Citations: 2

Breast cancer is the most common disease now a days. To get an early detection the target is to find an efficient way to use scientific investigation, because early detection is the only way to remove cancer cell. To predict the accuracy of breast cancer detection, researchers have used different cl...

Life SciencesBiochemistry, Genetics and Molecular BiologyMolecular BiologyOpen Access
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Performance Analysis of Different Classifiers Used In Detecting Benign And Malignant Cells of Breast Cancer

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Mst. Alema Khatun, Taskin Noor Turna, Bratati Roy, Md. Ebrahim Hossain

Journal: Proceedings of International Exchange and Innovation Conference on Engineering & Sciences (IEICES)Year: 2020Citations: 1

Breast cancer is the most common disease now a days. To get an early detection the target is to find an efficient way to use scientific investigation, because early detection is the only way to remove cancer cell. To predict the accuracy of breast cancer detection, researchers have used different cl...

Life SciencesBiochemistry, Genetics and Molecular BiologyMolecular BiologyOpen Access
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